I would like to see the training steps visualized on some criterias (learning curve/accuracy/wer). I want to see how the model is learning so I can tune the parameters more efficiently.
I looked into the DeepSpeech.py code and saw no ready-made way to do this. Is there any easy process so, DeepSpeech.py would generate a plot displaying the learning curve/accuracy/wer on training and validation data set.
Moreover, is it possible to find these information from the saved checkpoint files or the exported model?